Associate Professor of Translational Data Science & Artificial Intelligence

Department Overview

The Division of Informatics, Clinical Epidemiology and Translational Data Science (DICE), one of 11 divisions in the OHSU Department of Medicine, is a national leader in biomedical informatics research and education. Faculty benefit from OHSU's highly collaborative environment, including access to a number of teams and resources related to innovation with and translation of AI, as well as the Advanced Computing Center. OHSU values a diverse and culturally competent workforce and is proud to be an equal opportunity, affirmative action organization.

Function/Duties of Position

The Division of Informatics, Clinical Epidemiology and Translational Data Science (DICE) at OHSU seeks a tenure-track faculty member to lead a research program at the intersection ofArtificial Intelligence (AI), machine learning (ML), and translational science. The successful candidate will develop computational methods to bridge the gap between complex biomedical data and clinical bedside application, leveraging OHSU’s extensive electronic health record (EHR) data, imaging repositories, and genomic datasets.

Key Responsibilities

Research & Scholarship (70%):

• Establish and maintain an independently funded research program focused ontranslational AI(e.g., predictive clinical modeling, precision oncology, ambient intelligence, or bias mitigation in healthcare algorithms).
• Collaborate with clinical partners in theKnight Cancer Institute,Oregon Clinical and Translational Research Institute (OCTRI), the Center for AI-Enabled Learning Health Science (CAILS) and others to validate and implement AI tools in real-world settings.
• Publish high-impact findings in peer-reviewed journals and present at national/international conferences.

Education & Mentoring (20%):

• Teach graduate-level courses in theBiomedical Informatics Graduate Program(e.g., Applied Machine Learning, Health Data Analytics).
• Mentor MS/PhD students, postdoctoral fellows, and clinical informatics fellows, fostering their development as independent scientists.

Service & Leadership (10%):

• Participate in departmental committees and OHSU-wide governance regardingethical AI usageand data science infrastructure.
• Contribute to grant review panels and professional societies.

Required Qualifications

• PhD, MD/PhD, or equivalent in Biomedical Informatics, Computer Science, Data Science, Statistics, or a related field.
• Demonstrated expertise in applying machine learning/deep learning to biomedical problems (e.g., NLP or EHR, computer vision for pathology/radiology, or multi-omics integration).
• Track record of scholarly productivity (publications) and potential for securing external fudning (e.g., NIH, NSF, PCORI)
• Proficiency in Python, R, SQL, and experience with high-performance computing environments

Preferred Qualifications

• Experience with implementation science or deploying algorithmic tools into clinical workflows
• Previous success securing K-awards or R-level grant funding
• Familiarity with federated learning or privacy-preserving computation

Why apply to OHSU?

We are Oregon's only public academic health center. In addition to caring for patients, we lead groundbreaking research. We also train the next generation of health care professionals. As Portland's largest employer, we give you opportunities to learn and advance in a system of hospitals and clinics across Oregon and Southwest Washington. All are welcome. OHSU welcomes people of all ages, ethnicities, genders, national origins, religions and sexual orientations. We are striving to build an anti-racist, multicultural institution and encourage people with diverse backgrounds to apply. To request reasonable accommodation, contact askhr@ohsu.edu